一种基于低空经济的无人机空域资源分配方法
By constructing a three-dimensional airway network and dynamic isolation zone in the low-altitude economic airspace, and combining 0-1 knapsack optimization and subway scheduling principles, the problems of resource optimization and safety redundancy in the allocation of low-altitude economic airspace resources were solved, and the efficient and safe operation of the UAV transportation network was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING UNIV OF POSTS & TELECOMM
- Filing Date
- 2025-10-13
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the airspace resource allocation methods for low-altitude economies cannot simultaneously take into account both planar resource optimization and safety redundancy, resulting in low airspace accessibility and resource utilization for drones, making it difficult to achieve large-scale expansion of intercity drone transportation networks.
By constructing an airway network in a three-dimensional cylindrical coordinate system at a preset altitude level, calculating the minimum safe distance between the UAV's centroid and the airway wall, designing an intelligent dynamic isolation zone system, constructing an airspace traffic optimization model using the 0-1 knapsack optimization algorithm, and building an adaptive allocation system for airspace time slot resources by combining the spatiotemporal diversity reservation algorithm and the subway scheduling principle, and integrating a manned safety-enhanced airway model and a spatiotemporal-physiological rhythm coupling algorithm, we can achieve efficient utilization of airspace resources and coordinated optimization of flight safety.
It improves airspace accessibility and resource utilization, reduces computing latency, enhances the throughput and security of the drone transportation network, supports concurrent scheduling decisions of 1,500 sorties per second, and significantly improves the efficiency and security of intercity drone transportation.
Smart Images
Figure CN121260052B_ABST